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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,335 ratings

About the Course

Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn key ML concepts, build models with scikit-learn, and gain hands-on experience using Jupyter Notebooks. Start with regression techniques like linear, multiple linear, polynomial, and logistic regression. Then move into supervised models such as decision trees, K-Nearest Neighbors, and support vector machines. You’ll also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you’ll practice model evaluation, cross-validation, regularization, and pipeline optimization. A final project on rainfall prediction and a course-wide exam will help you apply and reinforce your skills. Enroll now to start building machine learning models with confidence using Python....

Top reviews

FO

Oct 9, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

RC

Feb 7, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

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2951 - 2975 of 3,040 Reviews for Machine Learning with Python

By eduardo m r

Apr 7, 2020

The final assignment was completely bizarre, I think there are missing some instructions to guide the student, and the avaliation was completely 0/1.

By aa

Nov 13, 2019

Have to sign up IBM account in order to complete the last (most important) project, which is like doing advertising on purpose.

By Jesse Z

Jul 16, 2019

Introduced a lot of code in the assignments while providing no explanation of what it does. Lazy course writing.

By Gary S

May 3, 2019

Course has glitch in final assignment. People are completing but it is not completing the course for them.

By Bernardo N B C F

Jul 15, 2019

A lot of spelling errors during the course. The sample presented on the final project is very basic.

By Carlos A

Jun 23, 2020

The course lacked material on several subjects, and the assignment need more explanation.

By Tejasva k

Feb 15, 2025

Not for someone who is looking for a in depth course, it just scratches the surface.

By Djaber B

Aug 24, 2019

"Time series" prediction is missing, I was passionate to learn about that.

By BOGATHI H K R

Apr 18, 2023

I AM NOT SUITABLE FOR THIS COURSE. I LOOKING FOR CODING KNOWLEDGE.

By Nicholas J F

Nov 18, 2019

Just teaches you to go through the motions. No real understanding.

By ahmed f

Feb 2, 2019

not very detailed course and proper knowledge is not imparted

By Musa P (

May 14, 2019

It way to Basic. Industry demands of more depth knowledge

By Varun K

Mar 18, 2024

explanation is clear but need to upgrade to solve papers

By YUZURU T

May 5, 2021

Too many technical problems. I was always flustrated...

By Jiapeng C

Oct 4, 2022

I wish they can provide slides for users to download.

By Muhammad M A A

Aug 30, 2023

Training of Python with examples should be added.

By Gulzaman K

Jul 22, 2023

Robotic voiceover makes learning uninteresting.

By Michael M

Jan 4, 2021

Course content good. Final project is a sham

By Kevin K

Jun 14, 2023

The optional projects dont work!

Big Bummer

By Mustapha Z

Jun 22, 2020

Final exam instructions are not clear

By Seth C

Jun 10, 2024

IBM's courses are always a let down.

By Sara N G O

Aug 21, 2024

No me quiere llegar la insignia

By Girijesh J

Jun 21, 2019

very introductory level course.

By SANDEEP K M

Jun 2, 2022

unable to get my cirttficate

By Rick A

Dec 31, 2020

Not all it's made out to be.